RednoteMCP: 这是一个基于Playwright的小红书自动搜索和评论MCP,可以帮助用户自动登录小红书、搜索特定关键词

by JonaFly · MCP Server · ★ 129

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 48/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars129
Forks25
LanguagePython
CategoryMCP Server
Quality Score48/100
Open Issues4
Last Updated2025-09-20
Created2025-04-17
Platformsmcp, python
Est. Tokens~13k

About RednoteMCP

小红书自动评论工具(MCP Server) 这是一款基于 Playwright 开发的小红书自动搜索和评论工具,作为 MCP Server,可通过特定配置接入 MCP Client,帮助用户自动完成登录小红书、搜索关键词、获取笔记内容及发布智能评论等操作。 一、功能特点 自动登录:支持手动扫码登录方式,首次登录成功后会保存登录状态,后续使用无需重复扫码。 关键词搜索:能依据用户输入的关键词搜索小红书笔记,并可指定返回结果的数量。 笔记内容获取:输入笔记的 URL,即可获取该笔记的详细内容。 笔记评论获取:通过笔记 URL 获取相应笔记的评论信息。 智能评论发布:支持多种评论类型,包括引流(引导用户关注或私聊)、点赞(简单互动获取好感)、咨询(以问题形式增加互动)、专业(展示专业知识建立权威),可根据需求选择发布。 二、安装步骤 Python 环境检查:确保系统已安装 Python 3.8...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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